Assembly Unit Partitioning Method of Complex Mechanical Products for Error Propagation

被引：1
|
作者：
Zhang J. [1 ]
Chen K. [1 ]
Yu H. [1 ]
Li L. [1 ]
Gao J. [1 ]
Gao Z. [1 ]
机构：
[1] State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2021年 / 55卷 / 04期
关键词：
Assembly unit partitioning; Complex network; Error propagation;
D O I：
10.7652/xjtuxb202104010
中图分类号：
学科分类号：
摘要：
Aiming at the difficulty of directly modeling and analyzing assembly errors of complex mechanical products, an assembly unit partitioning method of complex mechanical products for error propagation is proposed. According to the product assembly process information, the assembly relationships among parts and the measurement relationships are taken into account, which obviously affect product assembly quality, then a part-level association network based on complex network is constructed. The method combining fuzzy analytic hierarchy process (FAHP) and expert scoring is introduced to weight the association relationship among parts to obtain a part-level association weighted network. Compared with the traditional method, the objectivity of the association relationship strength is heightened to a certain extent. An improved link communities (LC) algorithm is used for assembly unit partitioning based on the community characteristics of the part-level network. The division of assembly units reveals the hierarchical nature of the parts network and simultaneously digs out overlapping parts belonging to different assembly units, which more accurately coincides with the characteristics of complex product structures. A low-pressure module of a steam turbine is taken as an example to verify the feasibility and effectiveness of this method. The assembly unit in this method can be further extended to an assembly feature-level error propagation network to provide a relatively complete analysis platform for the assembly quality analysis of complex mechanical products. © 2021, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码：86 / 94
页数：8
相关论文
共 25 条
  • [1] GUO Feiyan, LIU Jianhua, ZOU Fang, Et al., Research on the state-of-art, connotation and key implementation technology of assembly process planning with digital twin, Journal of Mechanical Engineering, 55, 17, pp. 110-132, (2019)
  • [2] LIU Jianhua, SUN Qingchao, CHENG Hui, Et al., The state-of-the-art, connotation and developing trends of the products assembly technology, Journal of Mechanical Engineering, 54, 11, pp. 2-28, (2018)
  • [3] LIU Weidong, NING Ruxin, LIU Jianhua, Et al., Mechanism analysis of deviation sourcing and propagation for mechanical assembly, Journal of Mechanical Engineering, 48, 1, pp. 156-168, (2012)
  • [4] HU S J, KOREN Y., Stream-of-variation theory for automotive body assembly, CIRP Annals: Manufacturing Technology, 46, 1, pp. 1-6, (1997)
  • [5] SHI J., Stream of variation modeling and analysis for multistage manufacturing processes, pp. 34-37, (2006)
  • [6] BAKKER O, POPOV A, SVETAN M., Variation analysis of automated wing box assembly, Procedia CIRP, 63, pp. 406-411, (2017)
  • [7] TIAN Zhaoqing, LAI Xinmin, LIN Zhongqin, State space model of variations stream propagation in multistation assembly processes of sheet metal, Journal of Mechanical Engineering, 43, 2, pp. 202-209, (2007)
  • [8] pp. 35-43, (2017)
  • [9] LIU D, JIANG P., The complexity analysis of a machining error propagation network and its application, Proceedings of the Institution of Mechanical Engineers: Part B Journal of Engineering Manufacture, 223, 6, pp. 623-640, (2009)
  • [10] ZHU Peng, YU Jianbo, ZHENG Xiaoyun, Et al., Variation propagation network-based modeling and error tracing in mechanical assembling process, Journal of Zhejiang University(Engineering Science), 53, 8, pp. 1582-1593, (2019)
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